Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation
As the installation of solar-photovoltaic and wind-generation systems continue to grow, the location must be strategically selected to maintain a reliable grid. However, such strategies are commonly subject to system adequacy constraints, while system security constraints (e.g., frequency stability,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/22/8565 |
| _version_ | 1797465417780822016 |
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| author | Manuel S. Alvarez-Alvarado Johnny Rengifo Rommel M. Gallegos-Núñez José G. Rivera-Mora Holguer H. Noriega Washington Velasquez Daniel L. Donaldson Carlos D. Rodríguez-Gallegos |
| author_facet | Manuel S. Alvarez-Alvarado Johnny Rengifo Rommel M. Gallegos-Núñez José G. Rivera-Mora Holguer H. Noriega Washington Velasquez Daniel L. Donaldson Carlos D. Rodríguez-Gallegos |
| author_sort | Manuel S. Alvarez-Alvarado |
| collection | DOAJ |
| description | As the installation of solar-photovoltaic and wind-generation systems continue to grow, the location must be strategically selected to maintain a reliable grid. However, such strategies are commonly subject to system adequacy constraints, while system security constraints (e.g., frequency stability, voltage limits) are vaguely explored. This may lead to inaccuracies in the optimal placement of the renewables, and thus maximum benefits may not be achieved. In this context, this paper proposes an optimization-based mathematical framework to design a robust distributed generation system, able to keep system stability in a desired range under system perturbance. The optimum placement of wind and solar renewable energies that minimizes the impact on system stability in terms of the standard frequency deviation is obtained through particle swarm optimization, which is developed in Python and executed in PowerFactory-DIgSILENT. The results reveal that the proposed approach has the potential to reduce the influence of disturbances, enhancing critical clearance time before frequency collapse and supporting secure power system operation. |
| first_indexed | 2024-03-09T18:21:10Z |
| format | Article |
| id | doaj.art-082945f90dfa49d8b5387566e26a0c36 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:21:10Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-082945f90dfa49d8b5387566e26a0c362023-11-24T08:15:05ZengMDPI AGEnergies1996-10732022-11-011522856510.3390/en15228565Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind GenerationManuel S. Alvarez-Alvarado0Johnny Rengifo1Rommel M. Gallegos-Núñez2José G. Rivera-Mora3Holguer H. Noriega4Washington Velasquez5Daniel L. Donaldson6Carlos D. Rodríguez-Gallegos7Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorEscuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorEscuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorEscuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorEscuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorEscuela Superior Politécnica del Litoral (ESPOL), Guayaquil EC090112, EcuadorDepartment of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UKSolar Energy Research Institute of Singapore (SERIS), National University of Singapore (NUS), Singapore 117574, SingaporeAs the installation of solar-photovoltaic and wind-generation systems continue to grow, the location must be strategically selected to maintain a reliable grid. However, such strategies are commonly subject to system adequacy constraints, while system security constraints (e.g., frequency stability, voltage limits) are vaguely explored. This may lead to inaccuracies in the optimal placement of the renewables, and thus maximum benefits may not be achieved. In this context, this paper proposes an optimization-based mathematical framework to design a robust distributed generation system, able to keep system stability in a desired range under system perturbance. The optimum placement of wind and solar renewable energies that minimizes the impact on system stability in terms of the standard frequency deviation is obtained through particle swarm optimization, which is developed in Python and executed in PowerFactory-DIgSILENT. The results reveal that the proposed approach has the potential to reduce the influence of disturbances, enhancing critical clearance time before frequency collapse and supporting secure power system operation.https://www.mdpi.com/1996-1073/15/22/8565particle swarm optimizationPV systempower system stabilityoptimization wind generation |
| spellingShingle | Manuel S. Alvarez-Alvarado Johnny Rengifo Rommel M. Gallegos-Núñez José G. Rivera-Mora Holguer H. Noriega Washington Velasquez Daniel L. Donaldson Carlos D. Rodríguez-Gallegos Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation Energies particle swarm optimization PV system power system stability optimization wind generation |
| title | Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation |
| title_full | Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation |
| title_fullStr | Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation |
| title_full_unstemmed | Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation |
| title_short | Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation |
| title_sort | particle swarm optimization for optimal frequency response with high penetration of photovoltaic and wind generation |
| topic | particle swarm optimization PV system power system stability optimization wind generation |
| url | https://www.mdpi.com/1996-1073/15/22/8565 |
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